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Daniel C. Laughlin

Researcher at University of Wyoming

Publications -  128
Citations -  11628

Daniel C. Laughlin is an academic researcher from University of Wyoming. The author has contributed to research in topics: Trait & Understory. The author has an hindex of 42, co-authored 118 publications receiving 8390 citations. Previous affiliations of Daniel C. Laughlin include Northern Arizona University & University of Waikato.

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TRY - a global database of plant traits

Jens Kattge, +136 more
TL;DR: TRY as discussed by the authors is a global database of plant traits, including morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs, which can be used for a wide range of research from evolutionary biology, community and functional ecology to biogeography.
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TRY plant trait database : Enhanced coverage and open access

Jens Kattge, +754 more
- 01 Jan 2020 - 
TL;DR: The extent of the trait data compiled in TRY is evaluated and emerging patterns of data coverage and representativeness are analyzed to conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements.
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Plant functional traits have globally consistent effects on competition

Georges Kunstler, +39 more
- 14 Jan 2016 - 
TL;DR: Traits generate trade-offs between performance with competition versus performance without competition, a fundamental ingredient in the classical hypothesis that the coexistence of plant species is enabled via differentiation in their successional strategies.
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Revisiting the Holy Grail: using plant functional traits to understand ecological processes

Jennifer L. Funk, +10 more
- 01 May 2017 - 
TL;DR: In this article, the authors highlight recent work and outstanding questions in three areas: (i) selecting relevant traits; (ii) describing intraspecific trait variation and incorporating this variation into models; and (iii) scaling trait data to community and ecosystem-level processes.
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Global trait–environment relationships of plant communities

Helge Bruelheide, +118 more
- 19 Nov 2018 - 
TL;DR: It is shown that global trait composition is captured by two main dimensions that are only weakly related to macro-environmental drivers, which reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale.